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» On the Use of Evidence in Neural Networks
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JCNS
2006
94views more  JCNS 2006»
15 years 6 months ago
On the application of "equation-free modelling" to neural systems
"Equation-free modelling" is a recently-developed technique for bridging the gap between detailed, microscopic descriptions of systems and macroscopic descriptions of the...
Carlo R. Laing
FGR
2000
IEEE
123views Biometrics» more  FGR 2000»
15 years 11 months ago
A Fast and Accurate Face Detector for Indexation of Face Images
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the C...
Raphaël Feraud, Olivier Bernier, Jean-Emmanue...
IWANN
1999
Springer
15 years 10 months ago
The Capacity and Attractor Basins of Associative Memory Models
The performance characteristics of five variants of the Hopfield network are examined. Two performance metrics are used: memory capacity, and a measure of the size of basins of att...
Neil Davey, S. P. Hunt
NIPS
2008
15 years 8 months ago
Deep Learning with Kernel Regularization for Visual Recognition
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
Kai Yu, Wei Xu, Yihong Gong
JOCN
2010
109views more  JOCN 2010»
15 years 5 months ago
Learning Shapes the Representation of Visual Categories in the Aging Human Brain
■ The ability to make categorical decisions and interpret sensory experiences is critical for survival and interactions across the lifespan. However, little is known about the h...
Stephen D. Mayhew, Sheng Li, Joshua K. Storrar, Ka...